AI tools work by taking the information you type in—injury description, dates, treatment, and limitations—and matching it to generalized patterns. The output may look convincing, but it’s built on assumptions rather than your actual evidence.
In California workers’ comp, small differences in documentation can have big effects. For example, two people injured in similar work accidents may end up with very different outcomes if one has clearer work restrictions from the treating clinician, more consistent follow-up visits, or better wage documentation.
What usually goes wrong with AI estimates:
- The tool can’t verify whether your medical records support the severity you report.
- It can’t measure the credibility of the timeline (what was reported when, and how).
- It can’t account for how the insurer frames disputes—especially around causation and permanent impairment.
An AI estimate can be a starting point, but relying on it as a forecast is risky.


